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Found 4 papers, 2 papers with code
Driving Animatronic Robot Facial Expression From Speech
The proposed approach is capable of generating highly realistic, real-time facial expressions from speech on an animatronic face, significantly advancing robots' ability to replicate nuanced human expressions for natural interaction.
Interpretable Foreground Object Search As Knowledge Distillation
As for the proposed method, we first train a foreground encoder to learn representations of interchangeable foregrounds.
Sem-LSD: A Learning-based Semantic Line Segment Detector
Combined with high-level semantics, Sem-LS is more robust under cluttered environment compared with existing line-shaped representations.
Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
The framework, called Seq-SG2SL, derives sequence proxies for the two modality and a Transformer-based seq-to-seq model learns to transduce one into the other.
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